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Deep learning hybrid predictive modeling for ecosystem fluxes

Subcategory: machine learning
Papers: 2 | Mentions: 2

Local Knowledge Graph (38 entities)

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Description

A novel approach combining LSTM neural networks with process-based ecological understanding to predict evapotranspiration and ecosystem respiration. The method integrates temporal pattern recognition with physical constraints from ecosystem processes.

Typical Equipment

  • deep learning software frameworks
  • machine learning software
  • GPU computing resources

Output Measurements

  • evapotranspiration predictions
  • ecosystem respiration predictions
  • net ecosystem exchange estimates

Papers Using This Protocol (2)

article

A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration

2021Hydrology and Earth Systems Scienceintroducing
article

Automated Cloud Based Long Short-Term Memory Neural Network Based SWE Prediction

2020Frontiers in Waterintroducing

Places Where Used

Crested Butte

study site1 paper

East River

stream1 paper

Rocky Mountains

region1 paper

Porphyry Creek

stream1 paper

Schofield Pass

valley1 paper

Butte

peak1 paper

southwestern United States

region1 paper

Europe

region1 paper

Rocky Mountain

region1 paper

Upper Colorado River Basin

watershed1 paper